Prototype biodiversity digital twin: crop wild relatives genetic resources for food security

D. Chala, E. Kusch, Claus Weiland, Carrie Andrew, Jonas Grieb, Tuomas P. Rossi, Tomas Martinovic, Dag Endresen
{"title":"Prototype biodiversity digital twin: crop wild relatives genetic resources for food security","authors":"D. Chala, E. Kusch, Claus Weiland, Carrie Andrew, Jonas Grieb, Tuomas P. Rossi, Tomas Martinovic, Dag Endresen","doi":"10.3897/rio.10.e125192","DOIUrl":null,"url":null,"abstract":"Amidst population growth and climate-driven crop stresses such as drought, extreme weather, fungal and insect pests, as well as various crop diseases, ensuring food security demands innovative strategies. Crop wild relatives (CWR), wild plants in the same genus as the crop as well as wild populations belonging to the same species as the crop, offer novel genetic resources crucial for enhancing crop resilience against these stress factors. Here, we introduce a prototype digital twin (pDT) to aid in searching and utilising CWR genetic resources. Using the MoDGP (Modelling the Germplasm of Interest) tool, the pDT enables mapping geographic areas where stress-tolerant CWR populations can be found. With its graphical user interface, it offers flexibility in selecting genetic resources from CWR tailored to enhance resilience of various crops against diverse stress factors.","PeriodicalId":92718,"journal":{"name":"Research ideas and outcomes","volume":"9 11","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research ideas and outcomes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3897/rio.10.e125192","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Amidst population growth and climate-driven crop stresses such as drought, extreme weather, fungal and insect pests, as well as various crop diseases, ensuring food security demands innovative strategies. Crop wild relatives (CWR), wild plants in the same genus as the crop as well as wild populations belonging to the same species as the crop, offer novel genetic resources crucial for enhancing crop resilience against these stress factors. Here, we introduce a prototype digital twin (pDT) to aid in searching and utilising CWR genetic resources. Using the MoDGP (Modelling the Germplasm of Interest) tool, the pDT enables mapping geographic areas where stress-tolerant CWR populations can be found. With its graphical user interface, it offers flexibility in selecting genetic resources from CWR tailored to enhance resilience of various crops against diverse stress factors.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
生物多样性数字孪生原型:促进粮食安全的作物野生近缘植物遗传资源
在人口增长以及干旱、极端天气、真菌和虫害以及各种作物疾病等气候因素对作物造成压力的情况下,确保粮食安全需要创新的战略。作物野生近缘种(CWR),即与作物同属的野生植物以及与作物同种的野生种群,提供了新的遗传资源,对提高作物抵御这些胁迫因素的能力至关重要。在此,我们介绍一种数字孪生原型(pDT),以帮助搜索和利用 CWR 遗传资源。利用 MoDGP(感兴趣种质建模)工具,pDT 可以绘制出能找到抗逆 CWR 群体的地理区域图。该工具采用图形用户界面,可灵活地从化武资源中选择遗传资源,以提高各种作物对各种胁迫因素的抗逆能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
审稿时长
2 weeks
期刊最新文献
ECOSENSE - Multi-scale quantification and modelling of spatio-temporal dynamics of ecosystem processes by smart autonomous sensor networks Earth deity shrines of the Greater Taipei area: A first edition curated dataset Restoring the Lower Danube River's wetlands: a short report on the hydrological effectiveness of completed projects Interim Report NFDI4Chem 2023 The Meise Botanic Garden Herbarium Data Management Plan
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1